A still image encoder based on adaptive resolution vector quantization employing needless calculation elimination architecture

Authors:
M. Fujibayashi;T. Nozawa;T. Nakayama;K. Mochizuki;K. Kotani;S. Sugawa;T. Ohmi
Affiliations:
Tohoku University;Tohoku University;Tohoku University;Tohoku University;Tohoku University;Graduate School of Engineering;Tohoku University
Venue:
ASP-DAC '03 Proceedings of the 2003 Asia and South Pacific Design Automation Conference
Year:
2003

Citing 2
Cited 0

Vector quantization and signal compression

Vector quantization and signal compression
Finite state vector quantization with multipath tree search strategy for image/video coding

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

We have developed an advanced vector quantization (VQ) encoding hardware for still image encoding systems. By utilizing needless calculation elimination method, computational cost of VQ encoding is reduced to 40% or less, while maintaining the accuracy of full-search VQ. We have successfully implemented the advanced encoding method and Adaptive resolution VQ (AR-VQ), which realizes compression ratio over 1/200 while maintaining image quality, into a still image encoding processor. The processor can compress still image of 1600 x 2400 pixels within one second, which is 60 times faster than software implementation on current PCs.